Artificial intelligence is helping organisations complete work faster, automate routine activities and improve operational efficiency. But as AI changes how work gets done, it also raises an important question: Are organisations using the time saved to improve employees' working lives, or simply expecting them to accomplish more?

In an article published by BW Wellbeing World, Venkat Raghavan M, Chief Operating Officer at LOWCODEMINDS, discusses why organisations must rethink productivity, workload planning and employee wellbeing as AI becomes increasingly embedded in business operations.

Why AI-Driven Productivity Needs a Different Approach

As businesses adopt AI and automation, productivity improvements are often measured through hours saved, faster turnaround times and reduced manual effort. However, these gains do not automatically translate into sustainable workloads.

Venkat explains that while automation can reduce the effort involved in routine activities, employees remain responsible for reviewing outputs, managing exceptions, coordinating across teams and making critical decisions.

For operational leaders, this means looking beyond traditional productivity measures such as utilisation and task completion. The focus must also include the quality of work, employee development and how effectively organisations use the capacity created by automation.

Balancing Automation, Employee Development and Wellbeing

The article also highlights the importance of giving employees sufficient time to adapt to AI-driven changes.

Learning new technologies, understanding their limitations and developing the skills to use them effectively require organisational support. Without realistic workload planning, AI adoption can become an additional source of pressure rather than a means of reducing it.

Drawing on LOWCODEMINDS' experience in enterprise AI and Knowledge Work Automation, Venkat reinforces the importance of using technology to free human potential. The objective should be to help employees contribute more meaningfully, rather than simply increasing the volume of work they are expected to handle.

He also emphasises that employee wellbeing remains a leadership responsibility, shaped by how organisations establish priorities, allocate work and manage performance expectations.

The article offers a practical perspective for business leaders, HR professionals and operations executives navigating the relationship between AI adoption, workforce productivity and sustainable employee performance.

Read the full story on BW Wellbeing World